diff --git a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_utils.py b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_utils.py
index 6b99dff5..2997e84c 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_utils.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_utils.py
@@ -50,9 +50,6 @@ def retrieve_census_acs_data(
             if raise_errors:
                 raise e
 
-        # TODO: DELETE!!
-        break
-
     df = pd.concat(dfs)
 
     df[tract_output_field_name] = df.index.to_series().apply(
diff --git a/data/data-pipeline/data_pipeline/score/field_names.py b/data/data-pipeline/data_pipeline/score/field_names.py
index 11d2961a..085c8334 100644
--- a/data/data-pipeline/data_pipeline/score/field_names.py
+++ b/data/data-pipeline/data_pipeline/score/field_names.py
@@ -70,6 +70,10 @@ LOW_MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD = (
     "Low median household income as a percent of area median income"
 )
 
+COLLEGE_ATTENDANCE_FIELD = (
+            "Percent enrollment in college or graduate school"
+        )
+
 # Climate
 FEMA_RISK_FIELD = "FEMA Risk Index Expected Annual Loss Score"
 EXPECTED_BUILDING_LOSS_RATE_FIELD = (